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Strategies for unsupervised multimedia processing: self-organizing trees and forests | IEEE Journals & Magazine | IEEE Xplore

Strategies for unsupervised multimedia processing: self-organizing trees and forests


Abstract:

In this article, we explore a new family of neural network architectures that have a basis in self-organization, yet are somewhat free from many of the constraints typica...Show More

Abstract:

In this article, we explore a new family of neural network architectures that have a basis in self-organization, yet are somewhat free from many of the constraints typical of other well-known self-organizing architectures. Within this family, the basic processing unit is known as the self-organizing tree map (SOTM). We will look at how this model has evolved since its inception in 1995, how it has inspired new models, and how it is being applied to complex multimedia research problems in digital asset management and microbiological image analysis.
Published in: IEEE Computational Intelligence Magazine ( Volume: 1, Issue: 2, May 2006)
Page(s): 27 - 40
Date of Publication: 31 May 2006

ISSN Information:


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